Literature DB >> 30463041

Imputation of missing prostate cancer stage in English cancer registry data based on clinical assumptions.

Matthew G Parry1, Arunan Sujenthiran2, Thomas E Cowling3, Susan Charman4, Julie Nossiter5, Ajay Aggarwal6, Noel W Clarke7, Heather Payne8, Jan van der Meulen9.   

Abstract

BACKGROUND: Cancer stage can be missing in national cancer registry records. We explored whether missing prostate cancer stage can be imputed using specific clinical assumptions.
METHODS: Prostate cancer patients diagnosed between 2010 and 2013 were identified in English cancer registry data and linked to administrative hospital and mortality data (n = 139,807). Missing staging items were imputed based on specific assumptions: men with recorded N-stage but missing M-stage have no distant metastases (M0); low/intermediate-risk men with missing N- and/or M-stage have no nodal disease (N0) or metastases; and high-risk men with missing M-stage have no metastases. We tested these clinical assumptions by comparing 4-year survival in men with the same recorded and imputed cancer stage. Multi-variable Cox regression was used to test the validity of the clinical assumptions and multiple imputation.
RESULTS: Survival was similar for men with recorded N-stage but missing M-stage and corresponding men with M0 (89.5% vs 89.6%); for low/intermediate-risk men with missing M-stage and corresponding men with M0 (92.0% vs 93.1%); and for low/intermediate-risk men with missing N-stage and corresponding men with N0 (90.9% vs 93.7%). However, survival was different for high-risk men with missing M-stage and corresponding men with M0. Imputation based on clinical imputation performs as well as statistical multiple imputation.
CONCLUSION: Specific clinical assumptions can be used to impute missing information on nodal involvement and distant metastases in some patients with prostate cancer.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Cancer registry; Clinical imputation; Epidemiology; Missing data; Neoplasm staging; Population-based; Prostate cancer; Risk stratification; Unknown stage

Mesh:

Year:  2018        PMID: 30463041     DOI: 10.1016/j.canep.2018.11.003

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  1 in total

1.  Risk stratification for prostate cancer management: value of the Cambridge Prognostic Group classification for assessing treatment allocation.

Authors:  M G Parry; T E Cowling; A Sujenthiran; J Nossiter; B Berry; P Cathcart; A Aggarwal; H Payne; J van der Meulen; N W Clarke; V J Gnanapragasam
Journal:  BMC Med       Date:  2020-05-28       Impact factor: 8.775

  1 in total

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